Evidence map›Paper›PMID 27583849›Full record

ArticleMedicine2016

Network pharmacology dissection of multiscale mechanisms of herbal medicines in stage IV gastric adenocarcinoma treatment.

Li Gao, Jian Hao, Yang-Yang Niu, Miao Tian, Xue Yang, Cui-Hong Zhu, Xiu-Li Ding, Xiao-Hui Liu, Hao-Ran Zhang, Chang Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Animals : an open access journal from MDPI · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. A Network Pharmacology to Explore the Mechanism ofBioMed research international · 2021
    Article
  6. Article
  7. Investigation of the Potential Mechanism Governing the Effect of theEvidence-based complementary and alternative medicine : eCAM · 2020
    Article
  8. Article
  9. Analysis of Effect ofFrontiers in pharmacology · 2019
    Article
  10. Article
  11. Network Pharmacology-Based Approach to Investigate the Mechanisms ofEvidence-based complementary and alternative medicine : eCAM · 2018
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Li GaoModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, P.R. China.
Jian Hao
Yang-Yang Niu
Miao Tian
Xue Yang
Cui-Hong Zhu
Xiu-Li Ding
Xiao-Hui Liu
Hao-Ran Zhang
Chang Liu
Xue-Mei Qin
Xiong-Zhi Wu
Tianjin Medical University Cancer Institute and Hospital · CNShanxi University of Traditional Chinese Medicine · CNNational Clinical Research · USShanxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has shown that Chinese Herbal Medicine (CHM) has efficient therapeutic effects for advanced gastric adenocarcinoma, while the therapeutic mechanisms underlying this treatment remain unclear.In this study, the Kaplan-Meier method and Cox regression analysis were used to evaluate the survival benefit of CHM treatment, and correlation analysis was applied to identify the most effective components in the formulas. A network pharmacological approach was developed to decipher the potential therapeutic mechanisms of CHM.CHM treatment was an independent protective factor. The hazard ratio was 0.364 (95% CI 0.245-0.540; P < 0.001). The median survival time was 18 months for patients who received CHM treatment, while for patients without CHM treatment was decreased to 9 months (P < 0.001). Thirteen out of the total 204 herbs were significantly correlated with favorable survival outcomes (P < 0.05), likely representing the most effective components in these formulas. Bioinformatics analyses suggested that the simultaneous manipulation of multiple targets in proliferation pathways (such as epidermal growth factor receptor, fibroblast growth factor receptor 2, human epidermal growth factor receptor 2, proliferating cell nuclear antigen, and insulin like growth factor 2) and the process of cancer metastasis (collagen families, fibronectin 1 and matrix metalloproteinases families) might largely account for the mechanisms of the 13 herbs against gastric adenocarcinoma.A network pharmacology method was introduced to decipher the underlying mechanisms of CHM, which provides a good foundation for herbal research based on clinical data.

Indexed as

AdenocarcinomaCarcinogenesisCell ProliferationComputational BiologyDrugs, Chinese HerbalFemaleGene ExpressionHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingProportional Hazards ModelsRetrospective StudiesSignal TransductionStomach NeoplasmsDrugs, Chinese Herbal

Identifiers

PMID27583849
PMCPMC5008533
OpenAlexW2511997625

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.